Choose your learning path and build real-world AI projects to master the skills that matter in today's AI-driven world.
Retrieval Augmented Generation (RAG) is a powerful approach that enhances large language models by retrieving relevant information from external knowledge sources. In this track, you'll learn to build AI applications that can retrieve and reason over your own data, creating chatbots and assistants that answer questions based on your documents, websites, and knowledge bases.
Build a chatbot that can answer questions based on your PDF documents, using vector search and LLMs.
Create a chatbot that can answer questions about any website by crawling and indexing its content.
Build an advanced assistant that can retrieve information from multiple data sources including databases, APIs, and documents.
Learn to customize large language models for specific tasks and domains. This track teaches you how to fine-tune LLMs to speak with your brand voice, understand industry-specific terminology, or perform specialized tasks with higher accuracy than general-purpose models.
Fine-tune an open-source LLM to follow specific instructions and maintain a consistent persona or brand voice.
Create a specialized model for fields like medicine, law, or finance that understands domain-specific terminology and concepts.
Fine-tune a model to excel at code generation, debugging, and explanation for specific programming languages or frameworks.
Develop autonomous AI agents that can perform tasks, make decisions, and interact with APIs and services to solve complex problems. This track focuses on building AI systems that can take actions in the world, from simple automation to complex multi-step reasoning.
Build an AI assistant that can automate routine tasks by connecting to various APIs and services.
Create an agent that can search the web, analyze information, and generate comprehensive research reports.
Develop a system of specialized agents that can collaborate to solve complex tasks requiring different skills and knowledge.
Explore the cutting-edge world of multimodal AI systems that can process and generate content across different formats - images, text, audio, and video. Learn to build applications that can understand and create content that spans multiple modalities.
Build an application that can analyze and extract information from documents, receipts, and images using GPT-4V.
Create a chatbot that can understand and respond to both text and image inputs, with context awareness across modalities.
Build a tool that generates marketing copy, social media posts, and descriptions based on uploaded images.
Learn to build robust, scalable APIs powered by AI. Master the art of creating endpoints that leverage machine learning models, natural language processing, and other AI capabilities to deliver intelligent services.
Build an API that generates, summarizes, and analyzes content using AI models, with endpoints for different content types.
Create an API that can analyze images for objects, scenes, and text, with customizable response formats.
Build an API that analyzes text for sentiment, emotion, and key entities, with batch processing capabilities.
Build complete AI-powered products from concept to deployment. Master the entire product development lifecycle, including user research, design, development, testing, and deployment of sophisticated AI applications.
Build a complete e-commerce platform with AI-powered product recommendations, search, and customer service chatbot.
Create a complete customer support platform with AI chatbots, ticket management, and analytics dashboard.
Build an educational platform with AI-driven personalized learning paths, content recommendations, and progress tracking.
Master the fundamentals of machine learning, deep learning, and natural language processing. Learn to build and deploy sophisticated ML models for various applications, from computer vision to text analysis.
Build a recommendation system using collaborative filtering and content-based approaches with a simple web interface.
Create a sentiment analysis model that classifies text as positive, negative, or neutral using NLP techniques and deep learning.
Develop a time series forecasting system using deep learning models to predict future values based on historical data.
Learn to build AI-powered automation workflows that save time and increase productivity. Master the tools and techniques for creating intelligent systems that can handle repetitive tasks, process data, and make decisions.
Build an automated email assistant that can categorize, summarize, and respond to emails using AI.
Create an automated social media management system that generates content, schedules posts, and analyzes engagement using AI.
Build an automated document processing system that can extract information, classify documents, and route them to the appropriate workflows.
Dive into the fascinating world of computer vision and learn to build applications that can see and understand the visual world. From basic image processing to advanced deep learning models for object detection and recognition.
Build a real-time object detection application using YOLO and OpenCV that can identify multiple objects in images and video streams.
Develop a facial recognition system that can detect, recognize, and track faces in real-time video feeds with high accuracy.
Create an advanced image segmentation tool using deep learning models that can precisely segment objects in complex images.
Join thousands of developers who are building real AI applications and advancing their careers with AnalogData.